The Future of Security Testing
Agentic penetration testing at developer speed. Same methodology IntegSec uses, delivered by AI.
Agentic pentesting uses autonomous AI agents to perform real penetration testing, not just vulnerability scanning. Run self-serve agentic pentests on every deploy, or bring in an expert who uses AI tools to compress weeks of manual pentesting into days.
The Gap Pentesting Could Never Fill
Generative AI coding tools have changed the equation. Developers now produce code 10-100x faster than before, and studies show that AI-generated code contains vulnerabilities at a higher rate than human-written code. More code, faster, with more bugs. The attack surface is growing at a pace that traditional pentesting was never designed to match.
Traditional pentesting costs $15K-$50K per engagement and takes 2-4 weeks. That puts it out of reach for most businesses. Small and mid-size companies, startups, local shops with a web presence: they all have attack surfaces, but pentesting was never built for them. And even for companies that can afford it, a pentest from 6 months ago tells you nothing about the AI-generated code that shipped last Tuesday.
Agentic pentesting closes both gaps. Starting at $99, platforms like TurboPentest bring professional pentesting to businesses that could never access it before. And by running on every deploy, agentic pentesting shortens the time from vulnerability introduction to discovery from months to hours, keeping pace with the volume of code that generative AI is producing.
For mature security programs: Many organizations use both - TurboPentest for continuous quarterly coverage across the full attack surface, and a specialist firm (like our parent company IntegSec) for annual deep engagement. The goal isn't replacement; it's stratification. See the hybrid program →
How Agentic Pentesting Differs
Vulnerability scanners check for known CVEs and misconfigurations. They are fast and cheap, but shallow: they match signatures, not intent. They miss business logic flaws, chained attack paths, and anything that requires reasoning about how your application actually works.
Traditional manual pentesting goes deep, but the cost and scheduling overhead mean most organizations do it once a year. The gap between tests is where most breaches happen.
Agentic pentesting sits between the two. AI agents reason about your application, chain findings, and adapt their approach the way a human pentester would. You get meaningful coverage on every deploy, not just when you can afford to schedule a firm. The agents follow the same PTES + OWASP + MITRE ATT&CK testing methodology human pentesters use.
In a self-serve agentic pentest, AI agents do the heavy lifting and your team reviews findings, prioritizes risk, and fixes vulnerabilities. Developers can interact with results directly in their tools - via CLI, IDE integrations (such as VS Code), or via MCP (the Model Context Protocol that lets AI tools connect to developer workflows). Security professionals can guide agent focus and validate findings using tools like Burp Suite Pro. AI agents do the running. Your team does what humans do best: prioritize, decide, and act.
Two Ways to Go Agentic
Agentic pentesting takes two forms. Both use AI agents for security testing, but the human role is different in each.
Self-Serve Agentic Pentesting
You launch a pentest from the dashboard. AI agents and security tools run against your target. Results come back in hours. You review findings, prioritize risk, and your team fixes the vulnerabilities.
- -Starting at $99 per pentest
- -Results in hours, not days
- -Run on every deploy or on demand
- -You are the human in the loop
Managed Agentic Pentesting
A human pentesting expert drives the engagement, using AI and agentic workflows to perform a thorough penetration test in a fraction of the traditional timeline. The expert guides the AI agents, validates findings, tests business logic, and delivers results that combine machine speed with human judgment.
- -Expert-guided, AI-accelerated
- -Days instead of weeks
- -Business logic, adversary simulation, social engineering
- -The pentester is the human in the loop
What both approaches share: AI helps the human do more in a smaller time window. Whether that human is you reviewing findings from a self-serve pentest, or a pentesting expert wielding AI tools to compress weeks of work into days, the result is the same - better coverage, faster.
Many organizations use both - self-serve on every deploy, managed for annual deep-dives.
The 4-Layer Framework
A practical agentic pentesting program, from continuous AI coverage to annual human deep-dives.
Continuous AI Pentesting
Run on every staging deploy. AI agents and security tools catch new vulnerabilities before production. Your team reviews findings and fixes issues in hours, not days.
Self-serve agentic pentestQuarterly Focused Assessments
Deeper than continuous, narrower than annual. Focus on highest-risk areas that changed in the last 90 days: new features, integrations, AI capabilities. Agentic platforms let you run these on demand without scheduling a firm.
Self-serve or managed agentic pentestAnnual Deep-Dive Assessment
For organizations that want the deepest coverage: adversary simulation, red teaming, social engineering, physical security, and business logic testing from a human pentesting team. Optional, but powerful.
Optional: your pentest providerIncident-Triggered Testing
Something concerning surfaces. A near-miss, a new threat vector, or a vendor's incident that could affect you. An agentic pentest lets you assess exposure in hours, not days, then decide if you need deeper human investigation.
Self-serve agentic pentestFits Into Your Existing Workflow
Agentic pentesting is most powerful when it runs automatically. Many agentic pentest platforms plug into your CI/CD pipeline to run on every deploy - via CLI, MCP server (the Model Context Protocol that lets AI tools connect to developer workflows), or REST API. That means security testing becomes a continuous background process rather than a scheduled event.
For organizations building toward compliance, agentic pentesting produces documentation built to meet the requirements of standards like SOC 2, ISO 27001, and PCI DSS. The continuous cadence means you have evidence of ongoing security testing, not just a point-in-time snapshot.
The approach is championed by Michel Chamberland, founder of IntegSec and TurboPentest, drawing on 20+ years of offensive security work as alumni of IBM X-Force Red and Trustwave SpiderLabs. He saw that pentesting was too expensive for most businesses, and that even for those who could afford it, the gap between annual tests left months of untested code in production. Agentic pentesting addresses both problems.
Explore Agentic Pentesting
If you're exploring agentic pentesting, TurboPentest is one platform that does this - starting at $99 per pentest, with results in hours.
AI vs. Human Pentest
How does TurboPentest compare to a human pentest? An honest answer.
Read the ComparisonNeed annual human pentesting too? Meet IntegSec for adversary simulation, social engineering, and red teaming.